The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
QC-Automator: Deep Learning-Based Automated Quality Control for Diffusion MR Images
|
---|---|
Published in |
Frontiers in Neuroscience, January 2020
|
DOI | 10.3389/fnins.2019.01456 |
Pubmed ID | |
Authors |
Zahra Riahi Samani, Jacob Antony Alappatt, Drew Parker, Abdol Aziz Ould Ismail, Ragini Verma |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 17% |
Researcher | 8 | 17% |
Student > Master | 4 | 8% |
Student > Bachelor | 2 | 4% |
Unspecified | 2 | 4% |
Other | 6 | 13% |
Unknown | 18 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 10 | 21% |
Computer Science | 6 | 13% |
Medicine and Dentistry | 3 | 6% |
Unspecified | 2 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Other | 6 | 13% |
Unknown | 19 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 January 2020.
All research outputs
#17,113,100
of 25,837,817 outputs
Outputs from Frontiers in Neuroscience
#7,605
of 11,678 outputs
Outputs of similar age
#289,929
of 480,216 outputs
Outputs of similar age from Frontiers in Neuroscience
#230
of 306 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 480,216 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 306 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.